Pandas Profiling Report

Dataset statistics

Number of variables	20
Number of observations	102814
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	69.4 MiB
Average record size in memory	708.0 B

Variable types

Numeric	7
Text	8
Categorical	3
Boolean	2

Alerts

`tournament_status` has constant value "Professional"	Constant
`best_of` is highly overall correlated with `player1_score` and 1 other fields	High correlation
`is_international_tournament` is highly overall correlated with `tournament_country`	High correlation
`match_id` is highly overall correlated with `season` and 1 other fields	High correlation
`player1_score` is highly overall correlated with `best_of` and 2 other fields	High correlation
`player2_score` is highly overall correlated with `player1_score`	High correlation
`season` is highly overall correlated with `match_id` and 2 other fields	High correlation
`tournament_country` is highly overall correlated with `is_international_tournament`	High correlation
`tournament_id` is highly overall correlated with `match_id` and 1 other fields	High correlation
`tournament_prize_pool` is highly overall correlated with `best_of` and 1 other fields	High correlation
`year` is highly overall correlated with `season`	High correlation
`match_id` has unique values	Unique
`player1_score` has 3466 (3.4%) zeros	Zeros
`player2_score` has 19309 (18.8%) zeros	Zeros
`tournament_prize_pool` has 5473 (5.3%) zeros	Zeros

Reproduction

Analysis started	2025-08-27 12:26:18.677059
Analysis finished	2025-08-27 12:26:23.037404
Duration	4.36 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

tournament_id
Real number (ℝ)

High correlation

Distinct	919
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	747.03573

Minimum	1
Maximum	3363
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	803.4 KiB

Quantile statistics

Minimum	1
5-th percentile	73
Q1	307
median	457
Q3	789
95-th percentile	2691
Maximum	3363
Range	3362
Interquartile range (IQR)	482

Descriptive statistics

Standard deviation	782.76356
Coefficient of variation (CV)	1.0478261
Kurtosis	2.2181582
Mean	747.03573
Median Absolute Deviation (MAD)	194
Skewness	1.825002
Sum	76805732
Variance	612718.79
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
475	588	0.6%
481	578	0.6%
458	564	0.5%
473	559	0.5%
449	556	0.5%
460	553	0.5%
482	547	0.5%
468	541	0.5%
464	541	0.5%
452	534	0.5%
Other values (909)	97253	94.6%

Value	Count	Frequency (%)
1	101	0.1%
2	205	0.2%
3	108	0.1%
12	192	0.2%
13	23	< 0.1%
15	95	0.1%
16	102	0.1%
17	15	< 0.1%
18	95	0.1%
20	126	0.1%

Value	Count	Frequency (%)
3363	125	0.1%
3320	127	0.1%
3299	128	0.1%
3284	15	< 0.1%
3275	96	0.1%
3271	128	0.1%
3270	1	< 0.1%
3267	127	0.1%
3188	23	< 0.1%
3186	63	0.1%

match_id
Real number (ℝ)

High correlation Unique

Distinct	102814
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	66542.816

Minimum	1
Maximum	208001
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	803.4 KiB

Quantile statistics

Minimum	1
5-th percentile	7022.65
Q1	29000.25
median	56443.5
Q3	84029.75
95-th percentile	174628.35
Maximum	208001
Range	208000
Interquartile range (IQR)	55029.5

Descriptive statistics

Standard deviation	49941.182
Coefficient of variation (CV)	0.750512
Kurtosis	0.36638656
Mean	66542.816
Median Absolute Deviation (MAD)	27515
Skewness	1.0451854
Sum	6.8415331 × 10⁹
Variance	2.4941217 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
82716	1	< 0.1%
1545	1	< 0.1%
1608	1	< 0.1%
1557	1	< 0.1%
1565	1	< 0.1%
1607	1	< 0.1%
1597	1	< 0.1%
1591	1	< 0.1%
1602	1	< 0.1%
1573	1	< 0.1%
Other values (102804)	102804	> 99.9%

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
208001	1	< 0.1%
208000	1	< 0.1%
207999	1	< 0.1%
207998	1	< 0.1%
207997	1	< 0.1%
207996	1	< 0.1%
207995	1	< 0.1%
207994	1	< 0.1%
207993	1	< 0.1%
207992	1	< 0.1%

stage
Text

Distinct	61
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.6 MiB

Length

Max length	26
Median length	7
Mean length	7.9806933
Min length	5

Characters and Unicode

Total characters	820527
Distinct characters	40
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Final
2nd row	Semi-final
3rd row	Semi-final
4th row	Quarter-final
5th row	Quarter-final

Value	Count	Frequency (%)
last	59550	30.0%
round	26784	13.5%
128	19081	9.6%
64	13986	7.0%
1	9871	5.0%
32	9420	4.7%
2	8701	4.4%
96	6673	3.4%
16	5567	2.8%
3	5444	2.7%
Other values (24)	33729	17.0%

Most occurring characters

Value	Count	Frequency (%)
	95992	11.7%
a	75630	9.2%
t	62962	7.7%
s	59994	7.3%
L	59550	7.3%
u	40926	5.0%
n	39498	4.8%
2	37234	4.5%
1	35095	4.3%
o	31656	3.9%
Other values (30)	281990	34.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	820527	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	95992	11.7%
a	75630	9.2%
t	62962	7.7%
s	59994	7.3%
L	59550	7.3%
u	40926	5.0%
n	39498	4.8%
2	37234	4.5%
1	35095	4.3%
o	31656	3.9%
Other values (30)	281990	34.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	820527	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	95992	11.7%
a	75630	9.2%
t	62962	7.7%
s	59994	7.3%
L	59550	7.3%
u	40926	5.0%
n	39498	4.8%
2	37234	4.5%
1	35095	4.3%
o	31656	3.9%
Other values (30)	281990	34.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	820527	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	95992	11.7%
a	75630	9.2%
t	62962	7.7%
s	59994	7.3%
L	59550	7.3%
u	40926	5.0%
n	39498	4.8%
2	37234	4.5%
1	35095	4.3%
o	31656	3.9%
Other values (30)	281990	34.4%

best_of
Real number (ℝ)

High correlation

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.0719844

Minimum	1
Maximum	35
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	803.4 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	7
median	9
Q3	9
95-th percentile	19
Maximum	35
Range	34
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	3.3365292
Coefficient of variation (CV)	0.36778384
Kurtosis	7.8320675
Mean	9.0719844
Median Absolute Deviation (MAD)	0
Skewness	2.2371419
Sum	932727
Variance	11.132427
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
9	54884	53.4%
7	28557	27.8%
11	5498	5.3%
19	4680	4.6%
5	3239	3.2%
17	2893	2.8%
1	1007	1.0%
3	792	0.8%
25	465	0.5%
4	336	0.3%
Other values (10)	463	0.5%

Value	Count	Frequency (%)
1	1007	1.0%
2	44	< 0.1%
3	792	0.8%
4	336	0.3%
5	3239	3.2%
6	40	< 0.1%
7	28557	27.8%
8	63	0.1%
9	54884	53.4%
11	5498	5.3%

Value	Count	Frequency (%)
35	41	< 0.1%
33	46	< 0.1%
31	43	< 0.1%
25	465	0.5%
23	6	< 0.1%
21	7	< 0.1%
19	4680	4.6%
17	2893	2.8%
15	47	< 0.1%
13	126	0.1%

player1_name
Text

Distinct	2308
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Memory size	6.0 MiB

Length

Max length	29
Median length	25
Mean length	12.256804
Min length	4

Characters and Unicode

Total characters	1260171
Distinct characters	68
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	442 ?
Unique (%)	0.4%

Sample

1st row	Terry Griffiths
2nd row	Terry Griffiths
3rd row	Alex Higgins
4th row	Terry Griffiths
5th row	Alex Higgins

Value	Count	Frequency (%)
mark	5335	2.6%
john	3255	1.6%
stephen	2859	1.4%
david	2605	1.3%
paul	2412	1.2%
steve	2341	1.1%
joe	2277	1.1%
michael	2236	1.1%
stuart	1687	0.8%
matthew	1650	0.8%
Other values (2556)	179771	87.1%

Most occurring characters

Value	Count	Frequency (%)
e	108539	8.6%
a	103782	8.2%
	103614	8.2%
n	98077	7.8%
i	79180	6.3%
r	76478	6.1%
o	66906	5.3%
l	60194	4.8%
t	48381	3.8%
s	39011	3.1%
Other values (58)	476009	37.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1260171	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	108539	8.6%
a	103782	8.2%
	103614	8.2%
n	98077	7.8%
i	79180	6.3%
r	76478	6.1%
o	66906	5.3%
l	60194	4.8%
t	48381	3.8%
s	39011	3.1%
Other values (58)	476009	37.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1260171	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	108539	8.6%
a	103782	8.2%
	103614	8.2%
n	98077	7.8%
i	79180	6.3%
r	76478	6.1%
o	66906	5.3%
l	60194	4.8%
t	48381	3.8%
s	39011	3.1%
Other values (58)	476009	37.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1260171	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	108539	8.6%
a	103782	8.2%
	103614	8.2%
n	98077	7.8%
i	79180	6.3%
r	76478	6.1%
o	66906	5.3%
l	60194	4.8%
t	48381	3.8%
s	39011	3.1%
Other values (58)	476009	37.8%

player2_name
Text

Distinct	3527
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Memory size	6.0 MiB

Length

Max length	29
Median length	26
Mean length	12.341918
Min length	4

Characters and Unicode

Total characters	1268922
Distinct characters	72
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	941 ?
Unique (%)	0.9%

Sample

1st row	Alex Higgins
2nd row	Tony Meo
3rd row	Ray Reardon
4th row	Steve Davis
5th row	John Spencer

Value	Count	Frequency (%)
mark	4048	2.0%
john	2857	1.4%
david	2781	1.3%
paul	2468	1.2%
steve	2181	1.1%
joe	2051	1.0%
michael	2042	1.0%
stephen	2009	1.0%
ian	1615	0.8%
tony	1606	0.8%
Other values (3832)	183424	88.6%

Most occurring characters

Value	Count	Frequency (%)
e	110195	8.7%
a	108138	8.5%
	104268	8.2%
n	97106	7.7%
i	78287	6.2%
r	77534	6.1%
o	68694	5.4%
l	59938	4.7%
t	47366	3.7%
s	41137	3.2%
Other values (62)	476259	37.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1268922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	110195	8.7%
a	108138	8.5%
	104268	8.2%
n	97106	7.7%
i	78287	6.2%
r	77534	6.1%
o	68694	5.4%
l	59938	4.7%
t	47366	3.7%
s	41137	3.2%
Other values (62)	476259	37.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1268922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	110195	8.7%
a	108138	8.5%
	104268	8.2%
n	97106	7.7%
i	78287	6.2%
r	77534	6.1%
o	68694	5.4%
l	59938	4.7%
t	47366	3.7%
s	41137	3.2%
Other values (62)	476259	37.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1268922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	110195	8.7%
a	108138	8.5%
	104268	8.2%
n	97106	7.7%
i	78287	6.2%
r	77534	6.1%
o	68694	5.4%
l	59938	4.7%
t	47366	3.7%
s	41137	3.2%
Other values (62)	476259	37.5%

player1_score
Real number (ℝ)

High correlation Zeros

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.8829829

Minimum	0
Maximum	18
Zeros	3466
Zeros (%)	3.4%
Negative	0
Negative (%)	0.0%
Memory size	803.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	4
median	5
Q3	5
95-th percentile	10
Maximum	18
Range	18
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.8873861
Coefficient of variation (CV)	0.38652318
Kurtosis	5.6024033
Mean	4.8829829
Median Absolute Deviation (MAD)	0
Skewness	1.1399234
Sum	502039
Variance	3.5622262
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
5	53463	52.0%
4	26954	26.2%
6	5428	5.3%
10	4607	4.5%
0	3466	3.4%
3	3323	3.2%
9	2859	2.8%
1	1006	1.0%
2	918	0.9%
13	465	0.5%
Other values (7)	325	0.3%

Value	Count	Frequency (%)
0	3466	3.4%
1	1006	1.0%
2	918	0.9%
3	3323	3.2%
4	26954	26.2%
5	53463	52.0%
6	5428	5.3%
7	130	0.1%
8	52	0.1%
9	2859	2.8%

Value	Count	Frequency (%)
18	41	< 0.1%
17	46	< 0.1%
16	43	< 0.1%
13	465	0.5%
12	6	< 0.1%
11	7	< 0.1%
10	4607	4.5%
9	2859	2.8%
8	52	0.1%
7	130	0.1%

player2_score
Real number (ℝ)

High correlation Zeros

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.1794892

Minimum	0
Maximum	17
Zeros	19309
Zeros (%)	18.8%
Negative	0
Negative (%)	0.0%
Memory size	803.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	17
Range	17
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8054482
Coefficient of variation (CV)	0.82838137
Kurtosis	3.588739
Mean	2.1794892
Median Absolute Deviation (MAD)	1
Skewness	1.3161434
Sum	224082
Variance	3.2596433
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
2	22316	21.7%
1	20945	20.4%
3	20292	19.7%
0	19309	18.8%
4	13473	13.1%
5	2082	2.0%
7	1190	1.2%
6	1167	1.1%
8	1111	1.1%
9	674	0.7%
Other values (8)	255	0.2%

Value	Count	Frequency (%)
0	19309	18.8%
1	20945	20.4%
2	22316	21.7%
3	20292	19.7%
4	13473	13.1%
5	2082	2.0%
6	1167	1.1%
7	1190	1.2%
8	1111	1.1%
9	674	0.7%

Value	Count	Frequency (%)
17	3	< 0.1%
16	11	< 0.1%
15	19	< 0.1%
14	17	< 0.1%
13	9	< 0.1%
12	69	0.1%
11	76	0.1%
10	51	< 0.1%
9	674	0.7%
8	1111	1.1%

season
Categorical

High correlation

Distinct	39
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.7 MiB

1992-1993	6360
1993-1994	5434
1991-1992	5191
1994-1995	5018
1995-1996	4826
Other values (34)	75985

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	925326
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1982-1983
2nd row	1982-1983
3rd row	1982-1983
4th row	1982-1983
5th row	1982-1983

Common Values

Value	Count	Frequency (%)
1992-1993	6360	6.2%
1993-1994	5434	5.3%
1991-1992	5191	5.0%
1994-1995	5018	4.9%
1995-1996	4826	4.7%
1996-1997	4541	4.4%
2013-2014	4439	4.3%
2011-2012	3856	3.8%
2012-2013	3849	3.7%
2014-2015	3716	3.6%
Other values (29)	55584	54.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1992-1993	6360	6.2%
1993-1994	5434	5.3%
1991-1992	5191	5.0%
1994-1995	5018	4.9%
1995-1996	4826	4.7%
1996-1997	4541	4.4%
2013-2014	4439	4.3%
2011-2012	3856	3.8%
2012-2013	3849	3.7%
2014-2015	3716	3.6%
Other values (29)	55584	54.1%

Most occurring characters

Value	Count	Frequency (%)
9	193224	20.9%
1	182375	19.7%
0	163192	17.6%
2	135911	14.7%
-	102814	11.1%
8	35156	3.8%
3	25073	2.7%
4	23404	2.5%
5	22064	2.4%
6	21723	2.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	925326	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
9	193224	20.9%
1	182375	19.7%
0	163192	17.6%
2	135911	14.7%
-	102814	11.1%
8	35156	3.8%
3	25073	2.7%
4	23404	2.5%
5	22064	2.4%
6	21723	2.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	925326	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
9	193224	20.9%
1	182375	19.7%
0	163192	17.6%
2	135911	14.7%
-	102814	11.1%
8	35156	3.8%
3	25073	2.7%
4	23404	2.5%
5	22064	2.4%
6	21723	2.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	925326	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
9	193224	20.9%
1	182375	19.7%
0	163192	17.6%
2	135911	14.7%
-	102814	11.1%
8	35156	3.8%
3	25073	2.7%
4	23404	2.5%
5	22064	2.4%
6	21723	2.3%

year
Real number (ℝ)

High correlation

Distinct	39
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2002.5344

Minimum	1982
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	803.4 KiB

Quantile statistics

Minimum	1982
5-th percentile	1988
Q1	1994
median	2001
Q3	2012
95-th percentile	2018
Maximum	2020
Range	38
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	10.07114
Coefficient of variation (CV)	0.0050291968
Kurtosis	-1.2889615
Mean	2002.5344
Median Absolute Deviation (MAD)	9
Skewness	0.05511994
Sum	2.0588857 × 10⁸
Variance	101.42785
Monotonicity	Increasing

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
1993	6295	6.1%
1992	5789	5.6%
1994	5421	5.3%
1995	4747	4.6%
1996	4695	4.6%
2013	4065	4.0%
2012	3821	3.7%
1997	3809	3.7%
2011	3662	3.6%
2015	3650	3.6%
Other values (29)	56860	55.3%

Value	Count	Frequency (%)
1982	483	0.5%
1983	526	0.5%
1984	764	0.7%
1985	1137	1.1%
1986	1025	1.0%
1987	1055	1.0%
1988	1443	1.4%
1989	1739	1.7%
1990	1387	1.3%
1991	2551	2.5%

Value	Count	Frequency (%)
2020	96	0.1%
2019	3000	2.9%
2018	3172	3.1%
2017	3285	3.2%
2016	3278	3.2%
2015	3650	3.6%
2014	3600	3.5%
2013	4065	4.0%
2012	3821	3.7%
2011	3662	3.6%

tournament_name
Text

Distinct	219
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.4 MiB

Length

Max length	40
Median length	36
Mean length	16.405567
Min length	6

Characters and Unicode

Total characters	1686722
Distinct characters	61
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	UK Championship
2nd row	UK Championship
3rd row	UK Championship
4th row	UK Championship
5th row	UK Championship

Value	Count	Frequency (%)
open	29338	10.1%
event	27301	9.4%
	27025	9.3%
championship	24113	8.3%
world	11057	3.8%
tour	10091	3.5%
european	9138	3.1%
uk	7960	2.7%
masters	6877	2.4%
1	6235	2.1%
Other values (141)	131174	45.2%

Most occurring characters

Value	Count	Frequency (%)
	187495	11.1%
n	150167	8.9%
e	119285	7.1%
a	106449	6.3%
i	101374	6.0%
p	88335	5.2%
o	84540	5.0%
h	83416	4.9%
s	80614	4.8%
r	76346	4.5%
Other values (51)	608701	36.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1686722	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	187495	11.1%
n	150167	8.9%
e	119285	7.1%
a	106449	6.3%
i	101374	6.0%
p	88335	5.2%
o	84540	5.0%
h	83416	4.9%
s	80614	4.8%
r	76346	4.5%
Other values (51)	608701	36.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1686722	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	187495	11.1%
n	150167	8.9%
e	119285	7.1%
a	106449	6.3%
i	101374	6.0%
p	88335	5.2%
o	84540	5.0%
h	83416	4.9%
s	80614	4.8%
r	76346	4.5%
Other values (51)	608701	36.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1686722	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	187495	11.1%
n	150167	8.9%
e	119285	7.1%
a	106449	6.3%
i	101374	6.0%
p	88335	5.2%
o	84540	5.0%
h	83416	4.9%
s	80614	4.8%
r	76346	4.5%
Other values (51)	608701	36.1%

tournament_country
Categorical

High correlation

Distinct	36
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.5 MiB

England	50808
Wales	12232
China	7891
Thailand	6041
Germany	5214
Other values (31)	20628

Length

Max length	20
Median length	7
Mean length	7.0730153
Min length	5

Characters and Unicode

Total characters	727205
Distinct characters	44
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	England
2nd row	England
3rd row	England
4th row	England
5th row	England

Common Values

Value	Count	Frequency (%)
England	50808	49.4%
Wales	12232	11.9%
China	7891	7.7%
Thailand	6041	5.9%
Germany	5214	5.1%
Scotland	4852	4.7%
Belgium	3241	3.2%
United Arab Emirates	2238	2.2%
Malta	1705	1.7%
Ireland	1190	1.2%
Other values (26)	7402	7.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
england	50808	46.8%
wales	12232	11.3%
china	7891	7.3%
thailand	6041	5.6%
germany	5214	4.8%
scotland	4852	4.5%
belgium	3241	3.0%
united	2238	2.1%
arab	2238	2.1%
emirates	2238	2.1%
Other values (34)	11644	10.7%

Most occurring characters

Value	Count	Frequency (%)
n	134157	18.4%
a	113009	15.5%
l	84889	11.7%
d	68295	9.4%
g	55416	7.6%
E	53050	7.3%
e	29386	4.0%
i	25959	3.6%
r	17389	2.4%
s	15598	2.1%
Other values (34)	130057	17.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	727205	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	134157	18.4%
a	113009	15.5%
l	84889	11.7%
d	68295	9.4%
g	55416	7.6%
E	53050	7.3%
e	29386	4.0%
i	25959	3.6%
r	17389	2.4%
s	15598	2.1%
Other values (34)	130057	17.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	727205	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	134157	18.4%
a	113009	15.5%
l	84889	11.7%
d	68295	9.4%
g	55416	7.6%
E	53050	7.3%
e	29386	4.0%
i	25959	3.6%
r	17389	2.4%
s	15598	2.1%
Other values (34)	130057	17.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	727205	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	134157	18.4%
a	113009	15.5%
l	84889	11.7%
d	68295	9.4%
g	55416	7.6%
E	53050	7.3%
e	29386	4.0%
i	25959	3.6%
r	17389	2.4%
s	15598	2.1%
Other values (34)	130057	17.9%

tournament_prize_pool
Real number (ℝ)

High correlation Zeros

Distinct	554
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	292159.97

Minimum	0
Maximum	2220000
Zeros	5473
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	803.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	50000
median	200500
Q3	366000
95-th percentile	1111000
Maximum	2220000
Range	2220000
Interquartile range (IQR)	316000

Descriptive statistics

Standard deviation	340591.31
Coefficient of variation (CV)	1.1657699
Kurtosis	6.0632986
Mean	292159.97
Median Absolute Deviation (MAD)	150500
Skewness	2.2938879
Sum	3.0038135 × 10¹⁰
Variance	1.1600244 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5473	5.3%
50000	3850	3.7%
104157	1353	1.3%
330000	1331	1.3%
93750	1320	1.3%
150000	1064	1.0%
400000	994	1.0%
13280	977	1.0%
325000	890	0.9%
120000	836	0.8%
Other values (544)	84726	82.4%

Value	Count	Frequency (%)
0	5473	5.3%
500	15	< 0.1%
1380	26	< 0.1%
1600	214	0.2%
1700	15	< 0.1%
2475	81	0.1%
2700	7	< 0.1%
2850	11	< 0.1%
3000	40	< 0.1%
3100	8	< 0.1%

Value	Count	Frequency (%)
2220000	143	0.1%
1978000	143	0.1%
1815250	299	0.3%
1751000	143	0.1%
1614585	323	0.3%
1532000	302	0.3%
1499100	143	0.1%
1456150	355	0.3%
1410150	424	0.4%
1379600	367	0.4%

tournament_status
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.0 MiB

Professional	102814

Length

Max length	12
Median length	12
Mean length	12
Min length	12

Characters and Unicode

Total characters	1233768
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Professional
2nd row	Professional
3rd row	Professional
4th row	Professional
5th row	Professional

Common Values

Value	Count	Frequency (%)
Professional	102814	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
professional	102814	100.0%

Most occurring characters

Value	Count	Frequency (%)
o	205628	16.7%
s	205628	16.7%
P	102814	8.3%
r	102814	8.3%
f	102814	8.3%
e	102814	8.3%
i	102814	8.3%
n	102814	8.3%
a	102814	8.3%
l	102814	8.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1233768	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	205628	16.7%
s	205628	16.7%
P	102814	8.3%
r	102814	8.3%
f	102814	8.3%
e	102814	8.3%
i	102814	8.3%
n	102814	8.3%
a	102814	8.3%
l	102814	8.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1233768	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	205628	16.7%
s	205628	16.7%
P	102814	8.3%
r	102814	8.3%
f	102814	8.3%
e	102814	8.3%
i	102814	8.3%
n	102814	8.3%
a	102814	8.3%
l	102814	8.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1233768	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	205628	16.7%
s	205628	16.7%
P	102814	8.3%
r	102814	8.3%
f	102814	8.3%
e	102814	8.3%
i	102814	8.3%
n	102814	8.3%
a	102814	8.3%
l	102814	8.3%

player1_country
Text

Distinct	66
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.5 MiB

Length

Max length	20
Median length	7
Mean length	7.2009551
Min length	4

Characters and Unicode

Total characters	740359
Distinct characters	46
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	< 0.1%

Sample

1st row	Wales
2nd row	Wales
3rd row	Northern Ireland
4th row	Wales
5th row	Northern Ireland

Value	Count	Frequency (%)
england	61399	57.0%
scotland	9182	8.5%
wales	8567	8.0%
ireland	7626	7.1%
china	4215	3.9%
northern	3409	3.2%
thailand	1870	1.7%
australia	1604	1.5%
canada	1215	1.1%
belgium	1107	1.0%
Other values (66)	7538	7.0%

Most occurring characters

Value	Count	Frequency (%)
n	154955	20.9%
a	108233	14.6%
l	93825	12.7%
d	83219	11.2%
g	63877	8.6%
E	61471	8.3%
e	22679	3.1%
r	18557	2.5%
t	16256	2.2%
o	14998	2.0%
Other values (36)	102289	13.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	740359	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	154955	20.9%
a	108233	14.6%
l	93825	12.7%
d	83219	11.2%
g	63877	8.6%
E	61471	8.3%
e	22679	3.1%
r	18557	2.5%
t	16256	2.2%
o	14998	2.0%
Other values (36)	102289	13.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	740359	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	154955	20.9%
a	108233	14.6%
l	93825	12.7%
d	83219	11.2%
g	63877	8.6%
E	61471	8.3%
e	22679	3.1%
r	18557	2.5%
t	16256	2.2%
o	14998	2.0%
Other values (36)	102289	13.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	740359	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	154955	20.9%
a	108233	14.6%
l	93825	12.7%
d	83219	11.2%
g	63877	8.6%
E	61471	8.3%
e	22679	3.1%
r	18557	2.5%
t	16256	2.2%
o	14998	2.0%
Other values (36)	102289	13.8%

player2_country
Text

Distinct	86
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.5 MiB

Length

Max length	20
Median length	7
Mean length	7.1923863
Min length	4

Characters and Unicode

Total characters	739478
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	< 0.1%

Sample

1st row	Northern Ireland
2nd row	England
3rd row	Wales
4th row	England
5th row	England

Value	Count	Frequency (%)
england	61074	56.6%
wales	7526	7.0%
ireland	7470	6.9%
scotland	7450	6.9%
china	4374	4.1%
northern	3110	2.9%
thailand	1860	1.7%
australia	1630	1.5%
canada	1548	1.4%
belgium	1281	1.2%
Other values (87)	10549	9.8%

Most occurring characters

Value	Count	Frequency (%)
n	154156	20.8%
a	109366	14.8%
l	91715	12.4%
d	82067	11.1%
g	63895	8.6%
E	61337	8.3%
e	23059	3.1%
r	19406	2.6%
t	15425	2.1%
o	13323	1.8%
Other values (39)	105729	14.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	739478	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	154156	20.8%
a	109366	14.8%
l	91715	12.4%
d	82067	11.1%
g	63895	8.6%
E	61337	8.3%
e	23059	3.1%
r	19406	2.6%
t	15425	2.1%
o	13323	1.8%
Other values (39)	105729	14.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	739478	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	154156	20.8%
a	109366	14.8%
l	91715	12.4%
d	82067	11.1%
g	63895	8.6%
E	61337	8.3%
e	23059	3.1%
r	19406	2.6%
t	15425	2.1%
o	13323	1.8%
Other values (39)	105729	14.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	739478	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	154156	20.8%
a	109366	14.8%
l	91715	12.4%
d	82067	11.1%
g	63895	8.6%
E	61337	8.3%
e	23059	3.1%
r	19406	2.6%
t	15425	2.1%
o	13323	1.8%
Other values (39)	105729	14.3%

match_winner
Text

Distinct	2391
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	6.0 MiB

Length

Max length	29
Median length	25
Mean length	12.25941
Min length	4

Characters and Unicode

Total characters	1260439
Distinct characters	68
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	484 ?
Unique (%)	0.5%

Sample

1st row	Terry Griffiths
2nd row	Terry Griffiths
3rd row	Alex Higgins
4th row	Terry Griffiths
5th row	Alex Higgins

Value	Count	Frequency (%)
mark	5337	2.6%
john	3279	1.6%
stephen	2840	1.4%
david	2597	1.3%
paul	2418	1.2%
steve	2352	1.1%
joe	2289	1.1%
michael	2189	1.1%
stuart	1706	0.8%
jamie	1635	0.8%
Other values (2646)	179807	87.1%

Most occurring characters

Value	Count	Frequency (%)
e	108576	8.6%
a	103910	8.2%
	103635	8.2%
n	98198	7.8%
i	79330	6.3%
r	76358	6.1%
o	67024	5.3%
l	59922	4.8%
t	48314	3.8%
s	39005	3.1%
Other values (58)	476167	37.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1260439	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	108576	8.6%
a	103910	8.2%
	103635	8.2%
n	98198	7.8%
i	79330	6.3%
r	76358	6.1%
o	67024	5.3%
l	59922	4.8%
t	48314	3.8%
s	39005	3.1%
Other values (58)	476167	37.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1260439	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	108576	8.6%
a	103910	8.2%
	103635	8.2%
n	98198	7.8%
i	79330	6.3%
r	76358	6.1%
o	67024	5.3%
l	59922	4.8%
t	48314	3.8%
s	39005	3.1%
Other values (58)	476167	37.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1260439	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	108576	8.6%
a	103910	8.2%
	103635	8.2%
n	98198	7.8%
i	79330	6.3%
r	76358	6.1%
o	67024	5.3%
l	59922	4.8%
t	48314	3.8%
s	39005	3.1%
Other values (58)	476167	37.8%

match_winner_country
Text

Distinct	67
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.5 MiB

Length

Max length	20
Median length	7
Mean length	7.2012566
Min length	4

Characters and Unicode

Total characters	740390
Distinct characters	46
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	< 0.1%

Sample

1st row	Wales
2nd row	Wales
3rd row	Northern Ireland
4th row	Wales
5th row	Northern Ireland

Value	Count	Frequency (%)
england	61009	56.6%
scotland	9118	8.5%
wales	8511	7.9%
ireland	7677	7.1%
china	4285	4.0%
northern	3431	3.2%
thailand	1882	1.7%
australia	1652	1.5%
canada	1332	1.2%
belgium	1112	1.0%
Other values (66)	7771	7.2%

Most occurring characters

Value	Count	Frequency (%)
n	154612	20.9%
a	108577	14.7%
l	93477	12.6%
d	83063	11.2%
g	63511	8.6%
E	61104	8.3%
e	22784	3.1%
r	18785	2.5%
t	16324	2.2%
o	14953	2.0%
Other values (36)	103200	13.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	740390	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	154612	20.9%
a	108577	14.7%
l	93477	12.6%
d	83063	11.2%
g	63511	8.6%
E	61104	8.3%
e	22784	3.1%
r	18785	2.5%
t	16324	2.2%
o	14953	2.0%
Other values (36)	103200	13.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	740390	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	154612	20.9%
a	108577	14.7%
l	93477	12.6%
d	83063	11.2%
g	63511	8.6%
E	61104	8.3%
e	22784	3.1%
r	18785	2.5%
t	16324	2.2%
o	14953	2.0%
Other values (36)	103200	13.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	740390	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	154612	20.9%
a	108577	14.7%
l	93477	12.6%
d	83063	11.2%
g	63511	8.6%
E	61104	8.3%
e	22784	3.1%
r	18785	2.5%
t	16324	2.2%
o	14953	2.0%
Other values (36)	103200	13.9%

is_international_match
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	100.5 KiB

False	71893
True	30921

Value	Count	Frequency (%)
False	71893	69.9%
True	30921	30.1%

is_international_tournament
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	100.5 KiB

False	69968
True	32846

Value	Count	Frequency (%)
False	69968	68.1%
True	32846	31.9%

	best_of	is_international_match	is_international_tournament	match_id	player1_score	player2_score	season	tournament_country	tournament_id	tournament_prize_pool	year
best_of	1.000	0.119	0.203	-0.064	0.943	0.465	0.255	0.190	-0.041	0.558	-0.439
is_international_match	0.119	1.000	0.165	0.217	0.067	0.051	0.266	0.209	0.203	0.070	0.251
is_international_tournament	0.203	0.165	1.000	0.301	0.220	0.133	0.390	1.000	0.274	0.173	0.358
match_id	-0.064	0.217	0.301	1.000	-0.054	-0.047	0.800	0.295	0.982	-0.017	0.169
player1_score	0.943	0.067	0.220	-0.054	1.000	0.520	0.146	0.135	-0.031	0.547	-0.397
player2_score	0.465	0.051	0.133	-0.047	0.520	1.000	0.083	0.082	-0.036	0.288	-0.154
season	0.255	0.266	0.390	0.800	0.146	0.083	1.000	0.205	0.813	0.312	0.934
tournament_country	0.190	0.209	1.000	0.295	0.135	0.082	0.205	1.000	0.275	0.196	0.301
tournament_id	-0.041	0.203	0.274	0.982	-0.031	-0.036	0.813	0.275	1.000	-0.003	0.153
tournament_prize_pool	0.558	0.070	0.173	-0.017	0.547	0.288	0.312	0.196	-0.003	1.000	-0.035
year	-0.439	0.251	0.358	0.169	-0.397	-0.154	0.934	0.301	0.153	-0.035	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	tournament_id	match_id	stage	best_of	player1_name	player2_name	player1_score	player2_score	season	year	tournament_name	tournament_country	tournament_prize_pool	tournament_status	player1_country	player2_country	match_winner	match_winner_country	is_international_match	is_international_tournament
0	753	82716	Final	31	Terry Griffiths	Alex Higgins	16	15	1982-1983	1982	UK Championship	England	47000.0	Professional	Wales	Northern Ireland	Terry Griffiths	Wales	False	False
1	753	82718	Semi-final	17	Terry Griffiths	Tony Meo	9	7	1982-1983	1982	UK Championship	England	47000.0	Professional	Wales	England	Terry Griffiths	Wales	False	False
2	753	82717	Semi-final	17	Alex Higgins	Ray Reardon	9	6	1982-1983	1982	UK Championship	England	47000.0	Professional	Northern Ireland	Wales	Alex Higgins	Northern Ireland	False	False
3	753	82721	Quarter-final	17	Terry Griffiths	Steve Davis	9	6	1982-1983	1982	UK Championship	England	47000.0	Professional	Wales	England	Terry Griffiths	Wales	False	False
4	753	82719	Quarter-final	17	Alex Higgins	John Spencer	9	5	1982-1983	1982	UK Championship	England	47000.0	Professional	Northern Ireland	England	Alex Higgins	Northern Ireland	False	False
5	753	82722	Quarter-final	17	Tony Meo	John Virgo	9	6	1982-1983	1982	UK Championship	England	47000.0	Professional	England	England	Tony Meo	England	False	False
6	753	82720	Quarter-final	17	Ray Reardon	Jimmy White	9	8	1982-1983	1982	UK Championship	England	47000.0	Professional	Wales	England	Ray Reardon	Wales	False	False
7	753	82728	Last 16	17	Steve Davis	Patsy Fagan	9	3	1982-1983	1982	UK Championship	England	47000.0	Professional	England	Ireland	Steve Davis	England	False	False
8	753	82729	Last 16	17	Terry Griffiths	Dennis Taylor	9	7	1982-1983	1982	UK Championship	England	47000.0	Professional	Wales	Northern Ireland	Terry Griffiths	Wales	False	False
9	753	82723	Last 16	17	Alex Higgins	Dean Reynolds	9	8	1982-1983	1982	UK Championship	England	47000.0	Professional	Northern Ireland	England	Alex Higgins	Northern Ireland	False	False

	tournament_id	match_id	stage	best_of	player1_name	player2_name	player1_score	player2_score	season	year	tournament_name	tournament_country	tournament_status	player1_country	player2_country	match_winner	match_winner_country	is_international_match	is_international_tournament
102804	3275	203172	Group 1	5	Jack Lisowski	Mark Selby	3	0	2019-2020	2020	Championship League	England	Professional	England	England	Jack Lisowski	England	False	False
102805	3275	203156	Group 1	5	Neil Robertson	Ryan Day	3	1	2019-2020	2020	Championship League	England	Professional	Australia	Wales	Neil Robertson	Australia	True	False
102806	3275	203158	Group 1	5	Neil Robertson	Mark Selby	3	2	2019-2020	2020	Championship League	England	Professional	Australia	England	Neil Robertson	Australia	True	False
102807	3275	203159	Group 1	5	Jimmy Robertson	Jack Lisowski	3	2	2019-2020	2020	Championship League	England	Professional	England	England	Jimmy Robertson	England	False	False
102808	3275	203163	Group 1	5	Jimmy Robertson	Neil Robertson	3	0	2019-2020	2020	Championship League	England	Professional	England	Australia	Jimmy Robertson	England	True	False
102809	3275	203168	Group 1	5	Neil Robertson	Luca Brecel	3	1	2019-2020	2020	Championship League	England	Professional	Australia	Belgium	Neil Robertson	Australia	True	False
102810	3275	203174	Group 1	5	Neil Robertson	Jack Lisowski	3	1	2019-2020	2020	Championship League	England	Professional	Australia	England	Neil Robertson	Australia	True	False
102811	3275	203167	Group 1	5	Mark Selby	Luca Brecel	3	0	2019-2020	2020	Championship League	England	Professional	England	Belgium	Mark Selby	England	True	False
102812	3275	203169	Group 1	5	Mark Selby	Ryan Day	3	2	2019-2020	2020	Championship League	England	Professional	England	Wales	Mark Selby	England	False	False
102813	3275	203175	Group 1	5	Mark Selby	Jimmy Robertson	3	1	2019-2020	2020	Championship League	England	Professional	England	England	Mark Selby	England	False	False

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters